CodeExp: Explanatory Code Document Generation
Published in arXiv (Cornell University) • Nov 25, 2022
NobleIDNI8P35W03R58S57
Authors:,,
Haotian Cui
Chenglong Wang
Junjie Huang
Abstract
Developing models that can automatically generate detailed code explanation can greatly benefit software maintenance and programming education. However, existing code-to-text generation models often produce only high-level summaries of code that do not capture implementation-level choices essential ...
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